Masashi Kitamura

910 total citations
89 papers, 682 citations indexed

About

Masashi Kitamura is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Masashi Kitamura has authored 89 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 24 papers in Biomedical Engineering and 20 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Masashi Kitamura's work include Electric Motor Design and Analysis (21 papers), Superconducting Materials and Applications (15 papers) and Magnetic Properties and Applications (14 papers). Masashi Kitamura is often cited by papers focused on Electric Motor Design and Analysis (21 papers), Superconducting Materials and Applications (15 papers) and Magnetic Properties and Applications (14 papers). Masashi Kitamura collaborates with scholars based in Japan, United States and India. Masashi Kitamura's co-authors include Yûji Enomoto, Kazuhisa Nakayama, Ryuichiro Suzuki, Hye‐Won Shin, Takashi Tanikawa, Yohei Sasaki, M. Komuro, Yutaka Inoue, Kazuhito Watanabe and Tatsuo Suganuma and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Masashi Kitamura

81 papers receiving 666 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masashi Kitamura Japan 15 198 142 134 101 87 89 682
Yunge Li China 15 719 3.6× 297 2.1× 49 0.4× 148 1.5× 146 1.7× 51 1.3k
Keyang Wang China 23 573 2.9× 379 2.7× 316 2.4× 124 1.2× 83 1.0× 55 1.9k
Wenqian Liu China 20 374 1.9× 116 0.8× 57 0.4× 42 0.4× 58 0.7× 61 886
In-Seon Kim South Korea 19 104 0.5× 384 2.7× 129 1.0× 36 0.4× 213 2.4× 98 1.1k
Zhang Zhong China 13 143 0.7× 143 1.0× 76 0.6× 13 0.1× 77 0.9× 48 524
Young‐Cheol Kim South Korea 19 135 0.7× 290 2.0× 96 0.7× 36 0.4× 25 0.3× 104 1.1k
Ming Ye China 19 236 1.2× 535 3.8× 313 2.3× 19 0.2× 38 0.4× 100 1.2k
Takashi Iwasa Japan 20 359 1.8× 57 0.4× 40 0.3× 51 0.5× 96 1.1× 106 1.4k
Soumya De India 20 472 2.4× 220 1.5× 98 0.7× 18 0.2× 78 0.9× 75 1.1k
Cheng‐Chang Chen Taiwan 25 529 2.7× 199 1.4× 43 0.3× 269 2.7× 12 0.1× 73 2.0k

Countries citing papers authored by Masashi Kitamura

Since Specialization
Citations

This map shows the geographic impact of Masashi Kitamura's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masashi Kitamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Kitamura more than expected).

Fields of papers citing papers by Masashi Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masashi Kitamura. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masashi Kitamura. The network helps show where Masashi Kitamura may publish in the future.

Co-authorship network of co-authors of Masashi Kitamura

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Kitamura. A scholar is included among the top collaborators of Masashi Kitamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masashi Kitamura. Masashi Kitamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tanikawa, Takashi, et al.. (2025). Inhibitory effect of [6]-shogaol against 3CLpro activity and SARS-CoV-2 infection. BMC Complementary Medicine and Therapies. 25(1). 385–385.
2.
Tanikawa, Takashi, et al.. (2024). Ciclesonide Inhibits SARS-CoV-2 Papain-Like Protease <i>in Vitro</i>. Biological and Pharmaceutical Bulletin. 47(5). 965–966. 1 indexed citations
4.
Hayashi, Tsuyoshi, et al.. (2023). Inhibitory effect of Ephedra herba on human norovirus infection in human intestinal organoids. Biochemical and Biophysical Research Communications. 671. 200–204. 13 indexed citations
5.
6.
Nagai, Moeto, et al.. (2022). A microfluidic diagnostic device with air plug-in valves for the simultaneous genetic detection of various food allergens. Scientific Reports. 12(1). 12852–12852. 13 indexed citations
7.
Tanikawa, Takashi, James B. Yu, Kate Hsu, et al.. (2022). Degradative Effect of Nattokinase on Spike Protein of SARS-CoV-2. Molecules. 27(17). 5405–5405. 14 indexed citations
8.
Tanikawa, Takashi, Tsuyoshi Hayashi, Ryuichiro Suzuki, Masashi Kitamura, & Yutaka Inoue. (2021). Inhibitory effect of honokiol on furin-like activity and SARS-CoV-2 infection. Journal of Traditional and Complementary Medicine. 12(1). 69–72. 22 indexed citations
9.
Tanikawa, Takashi, Masashi Kitamura, Yasuhiro Hayashi, et al.. (2021). Anti-Inflammatory Effects of Morinda citrifolia Extract against Lipopolysaccharide-Induced Inflammation in RAW264 Cells. SHILAP Revista de lepidopterología. 8(8). 43–43. 8 indexed citations
10.
Kitamura, Masashi, et al.. (2014). Optimal Design of Permanent Magnet Motor with Magnetic Gear and Prototype Verification. IEEJ Transactions on Industry Applications. 134(4). 439–446. 2 indexed citations
11.
Enomoto, Yûji, et al.. (2012). Evaluation of Experimental Result and Utility of Flux Modulated Type Magnetic Gear. IEEJ Transactions on Industry Applications. 133(1). 37–42. 2 indexed citations
12.
Kitamura, Masashi, et al.. (2011). Development of Optimal Design Method with Thermo-Magnetic Field Coupling Analysis for Miniaturization of Permanent-Magnet Synchronous Motors. IEEJ Transactions on Industry Applications. 131(11). 1301–1308. 2 indexed citations
13.
Kitamura, Masashi, et al.. (2011). Miniaturization Design Method and Performance Evaluation of Prototype Permanent-Magnet Synchronous Motor Optimally Designed by Thermomagnetic Field Coupling Analysis. IEEJ Transactions on Industry Applications. 131(7). 907–913. 5 indexed citations
14.
Mori, Hideaki, et al.. (2010). Development of Optimal Design Method with Thermo-Magnetic Field Coupling Analysis for Miniaturization of Permanent Magnet Synchronous Motors. 2010(69). 63–68. 1 indexed citations
15.
Kitamura, Masashi, et al.. (2009). Method Based on 3D Electromagnetic Field Analysis and Electrical Circuit Analysis for Obtaining Optimal Design of Single-Phase PM Synchronous Motors. IEEJ Transactions on Industry Applications. 129(5). 476–481.
16.
Kitamura, Masashi, et al.. (2008). Stator-Core Structure and Winding Technology for EPS Motors. IEEJ Transactions on Industry Applications. 128(12). 1411–1417. 3 indexed citations
17.
Enomoto, Yûji, et al.. (2004). Study on a New Combination Method and High Efficiency Outer Rotor Type Permanent Magnet Motors. IEEJ Transactions on Industry Applications. 124(6). 529–535. 6 indexed citations
18.
Enomoto, Yûji, et al.. (2004). A Way to Select Electrical Sheets of the Segment Stator Core Motors.. IEEJ Transactions on Industry Applications. 124(10). 1010–1016. 9 indexed citations
19.
Enomoto, Yûji, et al.. (2004). Factor Analysis on Cogging Torques in Segment Core Motors. IEEJ Transactions on Industry Applications. 124(1). 85–90. 15 indexed citations
20.
Kitamura, Masashi, et al.. (1999). Development of High Precision Plant Simulator for Pressurized Water Reactor Plants using Distributed Architecture.. Journal of Nuclear Science and Technology. 36(4). 344–357. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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